Instructions to use Gatozu35/tortoise-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gatozu35/tortoise-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gatozu35/tortoise-tts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Gatozu35/tortoise-tts") model = AutoModel.from_pretrained("Gatozu35/tortoise-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rlg_diffuser.pth from Gatozu35/tortoise-tts: direct link, hf CLI and curl.
- Browser
- Download file 101 MB
-
https://huggingface.co/Gatozu35/tortoise-tts/resolve/main/rlg_diffuser.pth
- Command line
-
hf download hf://Gatozu35/tortoise-tts/rlg_diffuser.pth
-
curl -L -o rlg_diffuser.pth https://huggingface.co/Gatozu35/tortoise-tts/resolve/main/rlg_diffuser.pth
101 MB
- Xet hash:
- af9e524f05eb3c0620a081d93748508edc402f9bdbe333227c4536f7551f88d0
- Size of remote file:
- 101 MB
- SHA256:
- 6e84b1ce60631c56dc8dec3d27c131993dd99d3060e7919cc351857457dbfdac
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